import tensorflow as tf 
from tensorflow import keras

model = keras.Sequential([
		keras.layers.Dense(512, activation='relu'),
		keras.layers.Dense(256, activation='relu'),
		keras.layers.Dense(10)
	])
model.build(input_shape=[None, 1])
model.summary() #print nerwork

#待优化参数
for p in model.trainable_variables:
	print(p.name, p.shape)
